Maternal depression, adverse childhood experiences, and social support in relation to gestational diabetes risk: results from the Albany Infant and Mother Study (AIMS)

Versteegen, Margaret E.; Bozlak, Christine T.; Larkin, Heather; Appleton, Allison A.

doi:10.1186/s12884-021-03814-5

Cited by 12 publications

(13 citation statements)

References 28 publications

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“…A total of 10 studies met the inclusion criteria and were included in this review. 10,11,[14][15][16][17][18][19][20][21] Fig. 1 Details of these studies are presented in Table-I.…”

Section: Resultsmentioning

confidence: 99%

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Does depression increase the risk of gestational diabetes mellitus? A systematic review and meta-analysis

Zhang¹,

Jiang²,

Wang³

2022

Pak J Med Sci

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Objective: Data on the relationship between depression and gestational diabetes mellitus (GDM) is scarce and conflicting. We, hereby, aimed to review evidence if prior depression increases the risk of GDM. Methods: PubMed, Embase, CENTRAL, and Google Scholar databases were searched from inception to 11th September 2021 for English language studies reporting the relationship between depression and subsequent risk of GDM. Results: Ten studies were included. Meta-analysis of data from nine studies including 127,195 patients indicated that prior depression was associated with a significantly increased risk of GDM (OR: 1.29 95% CI: 1.10, 1.52). There was no change in the significance of the results on sensitivity analysis. On subgroup analysis based on study location, we noted that the association between depression and GDM was seen only in USA-based studies with the pooled analysis of non-USA studies indicating no such relationship. Similar conflicting results were noted on subgroup analysis based on diagnostic criteria for GDM and depression. Conclusion: Our study indicates that prior depression can lead to a 29% increased risk of GDM in pregnant females. Current evidence is derived from a limited number of studies with significant heterogeneity in the timing and diagnostic criteria for depression. doi: https://doi.org/10.12669/pjms.39.1.6845 How to cite this: Zhang C, Jing L, Wang J. Does depression increase the risk of gestational diabetes mellitus? A systematic review and meta-analysis. Pak J Med Sci. 2023;39(1):285-292. doi: https://doi.org/10.12669/pjms.39.1.6845 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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“…A total of 10 studies met the inclusion criteria and were included in this review. 10,11,[14][15][16][17][18][19][20][21] Fig. 1 Details of these studies are presented in Table-I.…”

Section: Resultsmentioning

confidence: 99%

“…A total of 10 studies met the inclusion criteria and were included in this review. 10 , 11 , 14 – 21 Fig.1 Details of these studies are presented in Table-I . Three were retrospective while six were prospective cohort studies.…”

Section: Resultsmentioning

confidence: 99%

Does depression increase the risk of gestational diabetes mellitus? A systematic review and meta-analysis

Zhang¹,

Jiang²,

Wang³

2022

Pak J Med Sci

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“…Participants were part of the Albany Infant and Mother Study (AIMS), a prospective observational cohort study of racially and ethnically diverse and socioeconomically disadvantaged pregnant women and their infants born at the Albany Medical Center (Albany, New York, USA). Accrual and characteristics of the study population have been described elsewhere [ 16 , 23 , 26 , 27 ]. Briefly, using convenience sampling, English-speaking women, 18–40 years old, with singleton pregnancies were eligible to participate and enrolled on average at 27 weeks gestation at an outpatient obstetrics clinic.…”

Section: Methodsmentioning

confidence: 99%

Maternal depression and adverse neighbourhood conditions during pregnancy are associated with gestational epigenetic age deceleration

et al. 2022

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Gestational epigenetic age (GEA) acceleration and deceleration can indicate developmental risk and may help elucidate how prenatal exposures lead to offspring outcomes. Depression and neighbourhood conditions during pregnancy are well-established determinants of birth and child outcomes. Emerging research suggests that maternal depression may contribute to GEA deceleration. It is unknown whether prenatal neighbourhood adversity would likewise influence GEA deceleration. This study examined whether maternal depression and neighbourhood conditions independently or jointly contributed to GEA deceleration, and which social and environmental neighbourhood conditions were associated with GEA. Participants were from the Albany Infant and Mother Study (n = 204), a prospective non-probability sampled cohort of higher risk racial/ethnic diverse mother/infant dyads. GEA was estimated from cord blood. Depressive symptoms and census-tract level neighbourhood conditions were assessed during pregnancy. Maternal depression (β = −0.03, SE = 0.01, p = 0.008) and neighbourhood adversity (β = −0.32, SE = 0.14, p = 0.02) were independently associated with GEA deceleration, controlling for all covariates including antidepressant use and cell type proportions. Neighbourhood adversity did not modify the association of maternal depression and GEA (β = 0.003, SE = 0.03, p = 0.92). igher levels of neighbourhood poverty, public assistance, and lack of healthy food access were each associated with GEA deceleration; higher elementary school test scores (an indicator of community tax base) were associated with GEA acceleration (all p < 0.001). The results of this study indicated that maternal depression and neighbourhood conditions were independently and cumulatively associated GEA in this diverse population.

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“…Exposure to multiple ACEs has been associated with poor adult health outcomes, such as physical inactivity, overweight or obesity, diabetes, substance use, cancer, heart disease, respiratory disease, sexual risk taking, mental ill health, and interpersonal and self‐directed violence 5 . Despite the evidence that associates ACEs with poor adult health, there has been conflicting research regarding the influence of ACEs on pregnancy outcomes 6,7 . This led Mamun et al to conduct a systematic review and meta‐analysis to identify the association between ACEs and pregnancy complications and adverse birth outcomes.…”

Section: Featured Reviewmentioning

confidence: 99%

Systematic Reviews to Inform Practice, November/December 2023

Harris,

Howe‐Heyman

2023

J Midwife Womens Health

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Adherence to cervical cancer screening guidelines is essential to the prevention of cervical cancer. Given the known targeted effects of the human papilloma virus (HPV), HPV vaccination, and routine screening to monitor for HPV and precancerous lesions, it is one of the most preventable cancers. 1 However, disparities persist across various groups, including patients in overweight or obese body mass index (BMI) categories. Patients with higher-than-recommended BMIs face a greater risk of many health conditions for a variety of interrelated reasons. Although some studies have found higher rates of cervical cancer in obese women, the direct oncogenic nature of HPV has raised the question of whether this difference is due to challenges with adequate detection instead of some underlying pathological process related to intrinsic health and immunity status. [2][3][4] A previous meta-analysis of 11 studies from the United States conducted in 2009 demonstrated a decrease in cervical cancer screening rates in women with obesity. 5 However, the authors were not able to identify this relationship when they analyzed the data for Black women alone. Almost 30 studies have been published since then, so Sand et al aimed to update the evidence to compare the influence of overweight and obesity for those with recommended weight on cervical cancer screening adherence rates. They also examined adherence by obesity class I to III, race, and geographical region. 6 Sand et al identified 32 eligible studies conducted from 2000 through September 1, 2022, for their systematic review and meta-analysis, with 66% conducted in North America, 28% in Europe, and 6% in Oceania. They selected studies that compared participation in cervical cancer screening for those within the range of recommended BMIs and those with higher BMIs. Three studies could not be included in the pooled analysis due to an odds ratio (OR) not being reported or insufficient data provided to calculate an OR; data for approximately one million women were available for the analysis across the 29 remaining studies. 6 All studies used the World Health Organization BMI categories. Studies with a quality score below 5 were excluded, and Egger's test was used to detect publication bias of the studies included in the final analysis. In addition to demographic information, data extraction included BMI categories, method for measuring BMI, number of participants in BMI categories,

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Maternal depression, adverse childhood experiences, and social support in relation to gestational diabetes risk: results from the Albany Infant and Mother Study (AIMS)

Cited by 12 publications

References 28 publications

Does depression increase the risk of gestational diabetes mellitus? A systematic review and meta-analysis

Does depression increase the risk of gestational diabetes mellitus? A systematic review and meta-analysis

Maternal depression and adverse neighbourhood conditions during pregnancy are associated with gestational epigenetic age deceleration

Systematic Reviews to Inform Practice, November/December 2023

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